该数据为超级样地林下土壤湿度观测数据，观测时间为2008年6月5日，天气晴朗。超级样地位于黑河综合遥感联合试验在大野口流域设立的水文气象观测站（关滩站），样地大小为100m×100m。将超级样地划分成16个25m×25m的子样地，以子样地为单位进行土壤湿度的调查。在每个子样地内随机选择10个测点进行测量。\n
\n测量利用TDR 300土壤水分速测仪进行，观测探针长度为20cm，观测的是土壤含水量（VWC%）。该数据集记录的信息包括：子样地编号，样点编号，各样点土壤含水量（%），子样地地被物类型。\n
\n该数据和超级样地其他观测数据一起可用于森林3D场景的重建、主被动遥感机理模型建立、遥感影像的模拟等研究。
", "ds_source": "在每个子样地内随机选择10个测点进行测量。测量利用TDR 300土壤水分速测仪进行，观测探针长度为20cm，观测的是土壤含水量（VWC%）。该数据集记录的信息包括：子样地编号，样点编号，各样点土壤含水量（%），子样地地被物类型。
", "ds_process_way": "该数据和超级样地其他观测数据一起可用于森林3D场景的重建、主被动遥感机理模型建立、遥感影像的模拟等研究。
", "ds_quality": "数据质量良好
", "ds_acq_start_time": "2008-06-05 00:00:00", "ds_acq_end_time": "2008-06-05 00:00:00", "ds_acq_place": "黑河流域,大野口流域加密观测区,森林水文试验区,大野口关滩森林站超级样地", "ds_acq_lon_east": 100.2875, "ds_acq_lat_south": 38.46666666666667, "ds_acq_lon_west": 100.30333333333333, "ds_acq_lat_north": 38.666666666666664, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 876831, "ds_files_count": 2, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "分、日、次", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "6a4ccecf-2374-4270-95e4-59fc483d0fd3.png", "ds_thumb_from": 0, "ds_ref_way": "杨永恬，黑河综合遥感联合试验：大野口关滩森林站超级样地土壤水分观测数据集（2008年），国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2019，doi：10.12072/ncdc.NIEER.db1882.2022", "paper_ref_way": "", "ds_ref_instruction": "本数据由“黑河综合遥感联合试验”产生，用户在使用数据时请在正文中明确声明数据的来源，并在参考文献部分引用本元数据提供的引用方式。", "ds_from_station": null, "organization_id": "14df1d8b-6362-4c0f-b88e-b46d4abe5db9", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596 ", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.NIEER.db1882.2022", "subject_codes": null, "quality_level": 3, "publish_time": "2022-03-15 17:04:14", "last_updated": "2023-05-16 17:34:58", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.2020.1546", "i18n": { "en": { "title": "Integrated remote sensing experiment of Heihe River: soil moisture observation data of super sample plot at guantan forest station, Dayekou", "ds_format": "", "ds_source": "Randomly select 10 measuring points in each sub sample plot for measurement. TDR 300 soil moisture meter was used for measurement. The length of the observation probe was 20cm, and the soil moisture content (vwc%) was observed. The information recorded in the data set includes: sub sample plot number, sample point number, soil water content (%) of each point, and ground cover type of sub sample plot", "ds_quality": "
Good data quality
", "ds_ref_way": "", "ds_abstract": "The data is the observation data of soil moisture under the super sample plot. The observation time is June 5, 2008, and the weather is fine. The super sample plot is located at the hydrometeorological observation station (guantan station) established in Dayekou basin of Heihe comprehensive remote sensing joint test, and the sample plot size is 100m × 100m。 The super plot is divided into 16 25m × The sub sample plot of 25m is taken as the unit to investigate the soil moisture. Randomly select 10 measuring points in each sub sample plot for measurement.\n
\nTDR 300 soil moisture meter was used for measurement. The length of the observation probe was 20cm, and the soil moisture content (vwc%) was observed. The information recorded in the data set includes: sub sample plot number, sample point number, soil water content (%) of each point, and ground cover type of sub sample plot.\n
\nTogether with other observation data of super sample plot, this data can be used for forest 3D scene reconstruction, active and passive remote sensing mechanism model establishment, remote sensing image simulation and so on
", "ds_time_res": "分、日、次", "ds_acq_place": "Heihe River Basin, Dayekou basin intensive observation area, forest hydrological test area, Dayekou guantan Forest Station Super sample plot", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Together with other observation data of super sample plot, this data can be used for forest 3D scene reconstruction, active and passive remote sensing mechanism model establishment, remote sensing image simulation and so on", "ds_ref_instruction": " This data is generated by the \"Heihe integrated remote sensing joint test\". When using the data, the user should clearly state the source of the data in the text, and quote the reference provided by this metadata in the reference part." } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "土壤", "土壤湿度", "土壤剖面", "水分含量" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "黑河流域", "大野口流域加密观测区", "森林水文试验区", "大野口关滩森林站超级样地" ], "ds_time_tags": [ 2008 ], "ds_contributors": [ { "true_name": "杨永恬", "email": "forevert@sina.com", "work_for": "中国林业科学研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "杨永恬", "email": "forevert@sina.com", "work_for": "中国林业科学研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "杨永恬", "email": "forevert@sina.com", "work_for": "中国林业科学研究院", "country": "中国" } ], "category": "遥感及产品" }